Compare Google: Gemini 2.5 Flash (Google) and Mistral: Mistral Small 3.2 24B (Mistral AI) by price, context, capabilities, and latency.
Side by side
Compare price, provider, context, capabilities, latency, and source basis.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| Google: Gemini 2.5 Flashgoogle/gemini-2.5-flash | $0.3 / 1M tokens | $2.50 / 1M tokens | 1M | Tool callingVisionJSON modeLong context | long-document summarization, image Q&A | 900-2800ms | Catalog | OpenRouter if available | |
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | Mistral AI | $0.1 / 1M tokens | $0.3 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | translation, classification | 700-2300ms | Catalog | OpenRouter if available |
FAQ
Mistral: Mistral Small 3.2 24B is cheaper ($0.1 / 1M tokens input / $0.3 / 1M tokens output) vs Google: Gemini 2.5 Flash ($0.3 / 1M tokens input / $2.50 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
Google: Gemini 2.5 Flash is larger (1M tokens) vs 128k tokens.
Both target Low cost. Pick Mistral: Mistral Small 3.2 24B to optimize cost, or Google: Gemini 2.5 Flash for the longer context window. Test both on real prompts before committing production traffic.